A study of the using some biomarkers of obesity, insulin resistance, and inflammation in detecting metabolic syndrome in a Syrian sample of above-40-years-old type 2 diabetics

Abstract EN

Background: The prevalence of metabolic syndrome (MetS) and its main complications [type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVDs)] is increasing globally.

However, a single precise definition of MetS and the contribution of the underlying components of MetS remains highly debated.

Objective: The major aim of this study is to provide realistic information on some biomarkers of obesity, insulin resistance, and inflammation that are associated with MetS and can help in its early detection and management in a Syrian sample aged above 40 years.

Methods: We studied 159 above-40-years-aged Syrian participants (79 females and 80 males) divided into two main groups: type 2 diabetic group (119 patients: 60 females & 59 males) and an age- and sex- matched 40 control participants (19 females & 21 males).

The use of MetS harmonizing criteria detected its presence in 96 T2DM patients (54 females and 42 males), while the other 23 T2DM (6 females and 17 males) and all controls were free of MetS.

Anthropometric measurements, insulin resistance and sensitivity, lipid profile components, and inflammation status are evaluated in all participants using suitable methods.

Statistical tests were done using version 22.0 of SPSS, and a P-value of less than 0.05 was considered as statistically significant.

Results: Body Mass Index (BMI), homeostasis model assessment of insulin resistance (HOMA-IR), insulinogenic index (IgI), non-high-density lipoprotein cholesterol (Non-HDL-C), and C-Reactive Protein (CRP) were closely related to MetS and its criteria components and complications.

Conclusion: These results suggest that the studied biomarkers could help in early detecting and management of MetS and its life-threatening complications allowing for early interventions and decreasing the high burden of these conditions on patients, community, and health systems.